StructureMoa is a chemical-structure exploration tool. Structural similarity, clustering, and SAR relationships are intended for research exploration and do not establish shared potency, selectivity, safety, efficacy, or clinical performance.

구조 탐색 연산

Catalog graph and stored Morgan fingerprints: sparse SAR, cross-scaffold Tanimoto, leaf nodes, weakly linked compounds, and approved-tag gaps. No new candidates are invented.

제안 32화합물 31641 패밀리

Sparse SAR8

Family size is relatively large, but similarity edges are few.

Leaf node8

Few derived children in the catalog graph.

Weakly linked8

Low relation degree and few similarity neighbors.

Approved-tag gap8

Few mid-similarity bridges around an approved or clinical-tagged drug.

Exploration score method

StructureMoa ranks are a rule-based Exploration Score. An LLM does not predict activity or efficacy. Role, SMILES, and relation signals inside each family are summed and cut into High / Medium / Low exploration priority.

Core tab

  • scaffold / payload / linker role weights
  • family center-compound bonus
  • SMILES source (db · known · pubchem · inherited)
  • relation-edge count and derived-child count

Derivative tab

  • drug / derivative / adc candidates
  • similarity to family center via Morgan fingerprint, radius 2, 2048 bits, Tanimoto
  • approved / clinical catalog-tag bonuses
  • ADC / payload tags

Explore tab

  • sparse SAR, cross-scaffold pairs, expansion leaves
  • weakly linked nodes and approved-tag neighborhood gaps
  • relation graph + stored Morgan fingerprints
  • category filters

Exploration-priority bins

  • High (X-S): top ~12%
  • Medium (X-A/X-B): ~12–62%
  • Low (X-C): remainder (pools under 5 compounds stay Medium)

Internal exploration metric based on catalog and structural signals. Not a prediction of efficacy, safety, potency, or development success.

Full methodology

Assessed: 9/11/2026, 4:01:55 AM · 5 min cache · All families